The contactless estimation of vital signs using conventional color cameras and ambient light
can be affected by motion artifacts and changes in ambient light. On both these problems, a …

Finger-vein recognition, a new and advanced biometrics recognition method, is attracting
the attention of researchers because of its advantages such as high recognition …

Multimodal sensors capture and integrate diverse characteristics of a scene to maximize
information gain. In optics, this may involve capturing intensity in specific spectra or …

An example embodiment includes: an acquisition unit that acquires a first image generated
by capturing an object by using a light at a first wavelength, a second image generated by …

Significance Monitoring oxygen saturation (SpO 2) is important in healthcare, especially for
diagnosing and managing pulmonary diseases. Non-contact approaches broaden the …

Most commercially successful face recognition systems combine information from multiple
sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various …

In this work, we developed a multimodal imaging system for real-time applications by
integrating 2D image sensors in different spectral ranges as well as a polarization camera …

This paper presents a novel face recognition algorithm based on the deep convolution
neural network and key point detection jointed local binary pattern methodology to enhance …

The contactless estimation of vital signs based on conventional color cameras and ambient
light can be affected by motions of patients and changes in ambient light. In this work, a …

An eye-mounted device includes a contact lens, a femtocamera, and a femtoprojector. The
femtocamera and femtoprojector are both contained in the contact lens. The femtocamera …